I'm Nate — AI engineer and bioinformatics researcher specializing in machine learning and intelligent systems for ecological and genomic analysis.
Programming Languages:
Development & Tooling
Artificial Intelligence and Machine Learning:
Scientific Computing and Bioinformatics:
Data Engineering and Web:
🔭 Building agentic AI systems and custom MCP servers for scientific data analysis
🧬 Developing deep learning architectures for multi-omics research in medicine and biodiversity
🌱 Exploring the intersection of machine learning, genomics, and biodiversity informatics
📊 Creating tools that democratize sophisticated data analysis for domain experts
MCP Server & Agentic AI Systems Development - Custom Model Context Protocol server connecting LLMs to 40M+ phenology observations; Autonomous agentic data analysis workflows in phenology - Vector Institute & USA National Phenology Network
Deep Learning for Genomics - Novel deep learning architecture achieving improved accuracy for viral detection in metagenomic sequences compared to Kraken2 - CFIA (GigaScience, Aug 2025)
Vision-Language Models + RAG - Taxonomic classification for rare arthropod species pairing image captioning with RAG - MLRG, CBG & ABC (Canadian AI Conference, May 2025)
- University of Guelph's Machine Learning Research Group (MLRG)
- Vector Institute for Artificial Intelligence
- USA National Phenology Network (USA-NPN)
- Canadian Food Inspection Agency (CFIA)
- Centre for Biodiversity Genomics (CBG)
- AI and Biodiversity Change Global Centre (ABC)